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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
L. Green, J. A. Mitchell
Nuclear Science and Engineering | Volume 54 | Number 1 | May 1974 | Pages 18-27
Technical Paper | doi.org/10.13182/NSE74-A23389
Articles are hosted by Taylor and Francis Online.
Neutron scattering cross sections have been measured for 233U and 232Th, using rolled metal samples, in a moderated spectrum from a 5-mg 252Cf source. The scattered neutrons were detected by two 3He detectors in an annular geometry. The experimental data were corrected for thermal and epithermal fissions, epi-thermal scattering, air scattering, room background, and self-absorption. The self-absorption corrections for the four 233U targets, covering a wide range in thickness, were obtained from Monte Carlo calculations. Absorption corrections for the two 233Th targets were avoided by using standards having the same absorption thicknesses. The results obtained were 12.30 ± 0.70 b for 233U and 12.78 ± 0.30 b for 232Th relative to vanadium with an assumed scattering cross section of 5.02 ± 0.10 b. The corresponding values for the ENDF/B-III file are 14.06 and 11.92 b, respectively.